Paperspace Gradient vs PyTorch
Paperspace Gradient
paperspace.comPyTorch
pytorch.orgSide by side
| Figure | Paperspace Gradient | PyTorch |
|---|---|---|
| Price from | $8/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 17 | 0 |
| Spec score · Deep Learning Software | 8.8 (#3) | 7.3 (#29) |
| Model serving | Deployments serve machine learning models as API endpoints and provide options for runtimes, instance types, and autoscaling. | TorchServe supports deploying PyTorch models at scale, including multi-model serving, logging, metrics, and REST endpoints. |
| Purpose | Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models. | PyTorch enables fast, flexible experimentation and efficient production through a user-friendly front end, distributed training, and an ecosystem of tools and libraries. |
| Support | Paperspace lists free ticket-based support seven days a week and contract-based enterprise support with infrastructure assistance and customer success managers. | The Foundation directs users with technical questions to the PyTorch discussion community. |
| What it does | Paperspace is a cloud machine-learning platform for developing, training, and deploying AI applications with GPU-backed infrastructure. | PyTorch is an end-to-end machine learning framework for fast experimentation and production. |
Plans
Paperspace Gradient
- Free (Individual)Free
- Pro (Individual)$8 a month
- Growth (Individual)$39 a month
- Free (Team)Free
- Pro (Team)$12 a month
- Growth (Team)$39 a month
- T0Free
- T1$12 a month
- FreeFree
- FreeFree
In their own words
Paperspace Gradient
Paperspace Gradient is a machine learning platform for building, tracking, and collaborating on models. Its browser-based IDE launches GPU-enabled Jupyter notebooks; teams can share projects, invite collaborators, and connect GitHub to manage code and compute resources. Notebook environments run in Docker containers. For deployment, Gradient serves models through API endpoints, with runtime, instance-type, and autoscaling choices. On-demand GPU and IPU instances are available, and paid instance utilization can cost extra beyond plan fees. Gradient supports major machine learning frameworks and libraries. Plans include free options and paid options listed from $8/mo; individual and team plans have different storage allowances, and notebook plans specify limits on notebooks and running sessions. Gradient is offered for beginners, ML/AI engineers, data scientists, researchers, teams, research groups, and startups. Paperspace also lists a Windows, macOS, and Linux beta desktop app, along with centralized permissions and activity logs.